排序方式： 共有375条查询结果，搜索用时 15 毫秒
51.
水鹿(Rusa unicolor)和羚牛(Budorcas taxicolor)是国家重点保护野生动物,了解和掌握濒危物种的空间分布格局和对栖息地的利用特征是制定相关保护和管理策略的前提和基础。利用红外相机和样线法收集四川鞍子河保护地内水鹿和羚牛的实体、粪便和痕迹等点位信息,在得到水鹿124个、羚牛79个有效点位的基础上,结合15个环境因子,利用最大熵模型对保护地内水鹿和羚牛进行了栖息地适宜评价及其重叠性分析。结果表明:(1)水鹿和羚牛栖息地的适宜性评价结果均达到良好水平,其AUC值分别为0.888和0.813;(2)水鹿适宜和较适宜栖息地主要分布在保护地的中、南部海拔1474—3336 m区域,面积分别为943.23 hm2和3390.15 hm2,分别占保护地总面积的6.25%和22.48%;(3)羚牛适宜和较适宜栖息地主要分布在保护地中、西部海拔1467—3823 m区域,面积分别为1808.37 hm2和8384.35 hm2,分别占保护地总面积的11.99%和55.59%;(4)水鹿和羚牛... 相似文献
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New systematic conservation approaches have high potential in evaluation of different conservation scenarios and can be used as decision support tools for managers and planners with multiple goals. The present study focused on two major issues in conservation planning including socioeconomic costs and zoning procedure. The goal was to prioritize and identify representative areas for bird conservation, while minimizing the economic cost for the silvicultural sector and resolve conflicts with recreational activities. The study was conducted in forest areas of Golestan Province as part of Hyrcanian mixed forests, located along the southern coasts of the Caspian Sea and northern slopes of the Alborz Mountains, northern Iran. We used systematic conservation software Marxan with Zones to select candidate areas for conservation. Two types of conservation networks were defined, one with high and partial protection zones and the other with high protection zones only. We focused on four conservation scenarios varying in targets, costs, and multiple zones. The results showed that incorporation of socioeconomic costs significantly decreases the potential impacts on the silvicultural and recreational sectors without significant change in the area of protection zones. Furthermore, we found that design of multiple zone conservation areas facilitates evaluation of a wider range of conservation scenarios that can reduce potential socioeconomic impacts on other interests. 相似文献
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《应用生态学报》2025,36(4)
青海产区独特的气候条件非常适宜枸杞生长,产量和品质优于其他产区。筛选与其气候条件类似的产区可以指导高产优质枸杞的科学种植,提高种植收益。本研究基于青海产区气候特征,利用优化的MaxEnt模型和ArcGIS软件,明确影响其适生区分布的关键气象因子,预测其在不同气候情景下的适宜分布区。结果表明: 优化后的特征组合为线型、二次型,调控倍频为0.5,受试者工作特征曲线下面积和真实技巧统计值均大于0.90,表明预测结果准确可靠。影响高产优质枸杞分布的关键气象因子为平均气温日较差(适宜范围为12.94～19.08 ℃)和最暖月份最高温(19.01～28.32 ℃)。当前高产优质枸杞在我国适生区面积为42.69×104 km2,主要分布在青海柴达木盆地、甘肃西北部及其祁连山山麓、新疆昆仑山与阿尔金山山麓以及西藏中西部;未来(2050s和2070s)不同气候情景下,高产优质枸杞适生区面积均高于当前,呈现向东扩张的趋势,适生区面积分别在SSP585(59.26×104 km2)和SSP370(58.51×104 km2)情景下达到最大。温度是影响高产优质枸杞分布的关键气象因子,气候变暖将会导致其适生区向东扩张,有利于高产优质枸杞生产。 相似文献
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55.
Assessing the application of a geographic presence-only model for land suitability mapping 总被引：1，自引：0，他引：1
Recent advances in ecological modeling have focused on novel methods for characterizing the environment that use presence-only data and machine-learning algorithms to predict the likelihood of species occurrence. These novel methods may have great potential for land suitability applications in the developing world where detailed land cover information is often unavailable or incomplete. This paper assesses the adaptation and application of the presence-only geographic species distribution model, MaxEnt, for agricultural crop suitability mapping in a rural Thailand where lowland paddy rice and upland field crops predominant. To assess this modeling approach, three independent crop presence datasets were used including a social-demographic survey of farm households, a remote sensing classification of land use/land cover, and ground control points, used for geodetic and thematic reference that vary in their geographic distribution and sample size. Disparate environmental data were integrated to characterize environmental settings across Nang Rong District, a region of approximately 1300 sq. km in size. Results indicate that the MaxEnt model is capable of modeling crop suitability for upland and lowland crops, including rice varieties, although model results varied between datasets due to the high sensitivity of the model to the distribution of observed crop locations in geographic and environmental space. Accuracy assessments indicate that model outcomes were influenced by the sample size and the distribution of sample points in geographic and environmental space. The need for further research into accuracy assessments of presence-only models lacking true absence data is discussed. We conclude that the MaxEnt model can provide good estimates of crop suitability, but many areas need to be carefully scrutinized including geographic distribution of input data and assessment methods to ensure realistic modeling results. 相似文献
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付梦娣;朱彦鹏;任月恒;李爽;秦乐;谢正君;王清春;张立博 《生物多样性》2025,33(3):123-132
线性基础设施的不断扩张已成为威胁生物多样性的重要因素之一。探索大尺度的野生动物通道优化路径对于区域生物多样性保护至关重要。本研究以新疆代表性野生动物为研究对象, 采用最大熵模型预测其潜在栖息地, 并对栖息地重要性进行评估。基于最小累积阻力模型计算线性基础设施影响的最小累积阻力路径, 结合现有及规划的道路、围栏, 精准识别提高栖息地连通性所需的通道位置和数量, 形成野生动物通道空间布局优化方案。结果表明: 不同代表性野生动物的栖息地分布呈现显著的生态差异, 其中食肉目动物主要分布于高山和亚高山地区, 而大型食草动物则偏好干旱荒漠地区。高阻力区域主要位于铁路和高速公路穿越自然保护地的地段。研究识别出2,494.98 km的通道区域及4,314个通道。道路的技术等级越高, 通道区域的长度和通道数量越多。尽管重要区域的通道总长度大于关键区域, 但关键区域的通道密度显著高于重要区域。建议根据线性基础设施的技术等级实施差异化的通道建设, 同时加强保护地外的通道布局优化, 以有效维持区域生态连通性。 相似文献
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鸟类栖息地会随着季节迁徙而改变,基于此对以珍稀濒危鸟类保护为主要目标的自然保护区进行动态分区管理,能够有效提高土地利用效率,协调生物多样性保护与其他生态系统服务功能利用。通过MaxEnt模型分析预测安徽升金湖国家级自然保护区鸟类繁殖季和越冬季的栖息地范围,并采用空间叠加分析方法得到动态分区方案。结果发现：繁殖季鸟类栖息地适宜性受到人口密度、丰水期土地利用类型、距居民点距离、距道路距离等环境因素的影响;越冬季鸟类受到距道路距离、人口密度、距枯水期水体距离、枯水期土地利用类型等环境因素的影响。运用ArcGIS水文工具分析出升金湖国家级自然保护区汇水单元作为其动态区划单元,根据鸟类栖息地季节性变化的特点结合分析结果叠加分析,将安徽升金湖国家级自然保护区划分为核心栖息地保护区、繁殖季栖息地保护区、越冬季栖息地保护区和一般控制区。核心栖息地保护区要进行全年严格保护,繁殖季栖息地保护区和越冬季栖息地保护区在相应鸟类栖息时段严格管控、非栖息时段可合理利用,一般控制区则全年可允许合理的行为活动。季节性动态分区方案注重解决安徽省升金湖国家级自然保护区生态环境保护和社区发展之间的矛盾问题,便于未来保护区生态保护规划决策的制定和实施,进一步丰富了以季节性栖息物种为主要保护对象的自然保护区的动态功能分区研究理论与方法体系,为制定提高自然保护区空间利用效率的生态管理策略提供了参考依据。综上,建议在升金湖国家级自然保护区生态环境保护和社区发展中,依据保护区季节性动态分区特征,实行分区管制,制定对应的生态环境保护和发展的措施。 相似文献
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Luciano Atzeni Samuel A. Cushman Defeng Bai Jun Wang Pengju Chen Kun Shi Philip Riordan 《Ecology and evolution》2020,10(14):7686-7712
Replicated multiple scale species distribution models (SDMs) have become increasingly important to identify the correct variables determining species distribution and their influences on ecological responses. This study explores multi‐scale habitat relationships of the snow leopard (Panthera uncia) in two study areas on the Qinghai–Tibetan Plateau of western China. Our primary objectives were to evaluate the degree to which snow leopard habitat relationships, expressed by predictors, scales of response, and magnitude of effects, were consistent across study areas or locally landcape‐specific. We coupled univariate scale optimization and the maximum entropy algorithm to produce multivariate SDMs, inferring the relative suitability for the species by ensembling top performing models. We optimized the SDMs based on average omission rate across the top models and ensembles’ overlap with a simulated reference model. Comparison of SDMs in the two study areas highlighted landscape‐specific responses to limiting factors. These were dependent on the effects of the hydrological network, anthropogenic features, topographic complexity, and the heterogeneity of the landcover patch mosaic. Overall, even accounting for specific local differences, we found general landscape attributes associated with snow leopard ecological requirements, consisting of a positive association with uplands and ridges, aggregated low‐contrast landscapes, and large extents of grassy and herbaceous vegetation. As a means to evaluate the performance of two bias correction methods, we explored their effects on three datasets showing a range of bias intensities. The performance of corrections depends on the bias intensity; however, density kernels offered a reliable correction strategy under all circumstances. This study reveals the multi‐scale response of snow leopards to environmental attributes and confirms the role of meta‐replicated study designs for the identification of spatially varying limiting factors. Furthermore, this study makes important contributions to the ongoing discussion about the best approaches for sampling bias correction. 相似文献
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明晰甘肃安西极旱荒漠国家级自然保护区珍稀濒危物种北山羊的分布格局,并阐释气候变化和人类活动对北山羊的影响,对今后北山羊生境管理和物种保护具有重要意义。基于北山羊实测分布点记录和环境变量数据,结合MaxEnt模型和ArcGIS空间分析功能,利用CMIP6的8个气候模式均值预测中度发展路径（SSP2-4.5）下,基准期（1970-2000年）和未来气候（2041-2060年、2081-2100年）变化情景下,甘肃安西极旱荒漠国家级自然保护区北山羊的潜在适生区分布范围及变化,并综合贡献率和置换重要性值对北山羊生境选择关键环境因子进行了分析。研究结果表明：（1） MaxEnt模型的预测精度较高,三种气候条件下ROC曲线下面积（AUC,Area Under Curve）>0.97,且真实技巧统计（TSS,True Skill Statistic）>0.90,模拟结果可靠。（2）影响北山羊生境选择的主要环境因子为气候条件（降水量季节性变异系数和等温性）、海拔和人为干扰（距泉和居名点距离）。水是保护区北山羊生存的最基本要素,气候条件共同控制北山羊生境条件。此外,北山羊习性决定其生境宜选择高海拔和远离人类活动影响地区。（3）基准期保护区北山羊主要分布在北片和南片高海拔山区,面积365.77 km2（占整个保护区的4.31%）,北山羊适生区面积北片>南片、中高等适生区主要位于保护区北片。（4） CMIP6未来气候变化情景下,随着保护区生态环境改善和濒危物种保护措施的实施,北山羊潜在适生区面积呈增加趋势,但是受北山羊近亲繁殖的影响,整体上北山羊数量和适生区面积增加并不显著且有向南部及高海拔地区转移趋势。 相似文献
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气候变化和人为引种正在改变世界物种的分布格局,对生态系统中的关键物种构建分布模型,有助于理解全球气候变化背景下物种的分布变化规律,并预测其对生态系统的潜在影响。灰喜鹊(Cyanopica cyanus)是重要的食虫鸟类,对控制虫害、维持森林生态系统的稳定性具有重要意义,由于人为引种等原因,目前灰喜鹊已在其自然分布地外建立了多处可自我维持的种群。基于气候生态位理论,使用最大熵模型构建了自然分布地模型、引入地模型及综合分布模型等3种模型,模拟灰喜鹊在当前时期、2050s时期及2070s时期的潜在适生区,并以此分析灰喜鹊的分布格局与变化趋势。结果表明：(1)当前时期,自然分布地种群的适生区主要分布于华北、华中和华东地区,而引入地种群的适生区则主要分布于华南和西南地区;(2)在未来气候变化的背景下,各模型结果均表明灰喜鹊有显著的扩张趋势,自然分布地种群主要表现为向高纬度、高海拔地区扩散,截至2070s时期,适生区的质心向北偏东25°方向移动了229.16 km,而引入地种群扩张趋势较缓,截至2070s时期,质心仅向北偏东46°方向移动了67.69 km;(3)从适宜值方面来看,自然分布地模型中... 相似文献